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NVIDIA (UKEX:NVDA) Cyclically Adjusted FCF per Share : ₴122.15 (As of Apr. 2024)


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What is NVIDIA Cyclically Adjusted FCF per Share?

E10 is a concept invented by Prof. Robert Shiller, who uses E10 for his Shiller PE Ratio calculation. E10 is the average of the inflation adjusted earnings of a company over the past 10 years. The similar calculation is applied by GuruFocus to calculate the Cyclically Adjusted FCF per Share and the Cyclically Adjusted Price-to-FCF. The Cyclically Adjusted FCF per Share is the average of the inflation adjusted Free Cash Flow per Share of a company over the past 10 years.

NVIDIA's adjusted free cash flow per share for the three months ended in Apr. 2024 was ₴242.957. Add all the adjusted free cash flow per share for the past 10 years together and divide the count will get our Cyclically Adjusted FCF per Share, which is ₴122.15 for the trailing ten years ended in Apr. 2024.

During the past 12 months, NVIDIA's average Cyclically Adjusted FCF Growth Rate was 103.90% per year. During the past 3 years, the average Cyclically Adjusted FCF Growth Rate was 42.90% per year. During the past 5 years, the average Cyclically Adjusted FCF Growth Rate was 34.10% per year. During the past 10 years, the average Cyclically Adjusted FCF Growth Rate was 26.70% per year. Please click Growth Rate Calculation Example (GuruFocus) to see how GuruFocus calculates Wal-Mart Stores Inc (WMT)'s revenue growth rate. You can apply the same method to get the Cyclically Adjusted FCF Growth Rate using Cyclically Adjusted FCF per Share data.

During the past 13 years, the highest 3-Year average Cyclically Adjusted FCF Growth Rate of NVIDIA was 42.90% per year. The lowest was 13.30% per year. And the median was 19.30% per year.

As of today (2024-05-28), NVIDIA's current stock price is ₴33612.00. NVIDIA's Cyclically Adjusted FCF per Share for the quarter that ended in Apr. 2024 was ₴122.15. NVIDIA's Cyclically Adjusted Price-to-FCF of today is 275.17.

During the past 13 years, the highest Cyclically Adjusted Price-to-FCF of NVIDIA was 375.65. The lowest was 17.84. And the median was 101.72.


NVIDIA Cyclically Adjusted FCF per Share Historical Data

The historical data trend for NVIDIA's Cyclically Adjusted FCF per Share can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

* Premium members only.

NVIDIA Cyclically Adjusted FCF per Share Chart

NVIDIA Annual Data
Trend Jan15 Jan16 Jan17 Jan18 Jan19 Jan20 Jan21 Jan22 Jan23 Jan24
Cyclically Adjusted FCF per Share
Get a 7-Day Free Trial Premium Member Only Premium Member Only - - - - 74.63

NVIDIA Quarterly Data
Jul19 Oct19 Jan20 Apr20 Jul20 Oct20 Jan21 Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24 Apr24
Cyclically Adjusted FCF per Share Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only - - - 74.63 122.15

Competitive Comparison of NVIDIA's Cyclically Adjusted FCF per Share

For the Semiconductors subindustry, NVIDIA's Cyclically Adjusted Price-to-FCF, along with its competitors' market caps and Cyclically Adjusted Price-to-FCF data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


NVIDIA's Cyclically Adjusted Price-to-FCF Distribution in the Semiconductors Industry

For the Semiconductors industry and Technology sector, NVIDIA's Cyclically Adjusted Price-to-FCF distribution charts can be found below:

* The bar in red indicates where NVIDIA's Cyclically Adjusted Price-to-FCF falls into.



NVIDIA Cyclically Adjusted FCF per Share Calculation

E10 is a concept invented by Prof. Robert Shiller, who uses E10 for his Shiller PE Ratio calculation. E10 is the average of the inflation adjusted earnings of a company over the past 10 years. The similar calculation is applied by GuruFocus to calculate the Cyclically Adjusted FCF per Share and the Cyclically Adjusted Price-to-FCF. The Cyclically Adjusted FCF per Share is the average of the inflation adjusted Free Cash Flow per Share of a company over the past 10 years.

What is Cyclically Adjusted FCF per Share? How do we calculate Cyclically Adjusted FCF per Share?

Cyclically Adjusted FCF per Share is the average of the inflation adjusted Free Cash Flow per Share of a company over the past 10 years. Let's use an example to explain.

If we want to calculate the Cyclically Adjusted FCF per Share of Wal-Mart (WMT) for Dec. 31, 2010, we need to have the inflation data and the free cash flow per share from 2001 through 2010.

We adjusted the 2001 free cash flow per share data with the total inflation from 2001 through 2010 to the equivalent free cash flow in 2010. If the total inflation from 2001 to 2010 is 40%, and Wal-Mart's free cash flow is $1 a share in 2001, then the 2001's equivalent free cash flow in 2010 is $1.4 a share. If Wal-Mart's free cash flow is $1 again in 2002, and the total inflation from 2002 through 2010 is 35%, then the equivalent 2002 free cash flow in 2010 is $1.35. So on and so forth, you get the equivalent free cash flow per share of past 10 years. Then you add them together and divided the sum by the count to get Cyclically Adjusted FCF per Share.

Please note that we use the CPI data of the country/region where the company is headquartered. If the CPI data for that country/region is not available, then we will use the CPI data of the United States as default.

For example, NVIDIA's adjusted Free Cash Flow per Share data for the three months ended in Apr. 2024 was:

Adj_FreeCashFlowPerShare= Free Cash Flow per Share /CPI of Apr. 2024 (Change)*Current CPI (Apr. 2024)
=242.957/131.7762*131.7762
=242.957

Current CPI (Apr. 2024) = 131.7762.

NVIDIA Quarterly Data

Free Cash Flow per Share CPI Adj_FreeCashFlowPerShare
201407 1.291 100.520 1.692
201410 3.202 100.176 4.212
201501 7.507 98.604 10.033
201504 3.839 99.824 5.068
201507 2.524 100.691 3.303
201510 4.252 100.346 5.584
201601 8.530 99.957 11.245
201604 4.449 100.947 5.808
201607 2.675 101.524 3.472
201610 6.091 101.988 7.870
201701 9.831 102.456 12.644
201704 3.591 103.167 4.587
201707 10.382 103.278 13.247
201710 17.489 104.070 22.145
201801 15.118 104.578 19.050
201804 21.365 105.708 26.634
201807 12.643 106.324 15.670
201810 5.443 106.695 6.723
201901 11.280 106.200 13.997
201904 9.702 107.818 11.858
201907 13.487 108.250 16.418
201910 25.106 108.577 30.470
202001 21.458 108.841 25.980
202004 12.237 108.173 14.907
202007 21.770 109.318 26.243
202010 12.915 109.861 15.491
202101 28.496 110.364 34.025
202104 25.173 112.673 29.441
202107 39.853 115.183 45.594
202110 20.635 116.696 23.302
202201 43.808 118.619 48.667
202204 21.805 121.978 23.557
202207 13.433 125.002 14.161
202210 -2.230 125.734 -2.337
202301 28.349 126.223 29.596
202304 43.185 127.992 44.462
202307 97.903 128.974 100.030
202310 114.208 129.810 115.938
202401 182.063 130.124 184.374
202404 242.957 131.776 242.957

Add all the adjusted free cash flow per share together and divide 10 will get our Cyclically Adjusted FCF per Share.


NVIDIA  (UKEX:NVDA) Cyclically Adjusted FCF per Share Explanation

If a company grows much fast than inflation, Cyclically Adjusted FCF per Share may underestimate the company's free cash flow. Cyclically Adjusted Price-to-FCF can seem to be too high even the actual Price-to-Free-Cash-Flow is low.

For the Cyclically Adjusted Price-to-FCF, the free cash flow per share of the past 10 years are inflation-adjusted and averaged. The result is used for P/FCF calculation. Since it looks at the average over the last 10 years, the Cyclically Adjusted Price-to-FCF is also called CAPFCF Ratio.

The Shiller PE Ratio was first used by professor Robert Shiller. He uses E10 for his Shiller PE Ratio calculation. E10 is the average of the inflation adjusted earnings per share of a company over the past 10 years. The similar calculation is applied by GuruFocus to calculate the Cyclically Adjusted Price-to-FCF. The Cyclically Adjusted FCF per Share is the average of the inflation adjusted free cash flow per share of a company over the past 10 years.

NVIDIA's Cyclically Adjusted Price-to-FCF of today is calculated as

Cyclically Adjusted Price-to-FCF=Share Price/Cyclically Adjusted FCF per Share
=33612.00/122.15
=275.17

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

During the past 13 years, the highest Cyclically Adjusted Price-to-FCF of NVIDIA was 375.65. The lowest was 17.84. And the median was 101.72.


Be Aware

Cyclically Adjusted Price-to-FCF works better for cyclical companies. It gives you a better idea on the company's real free cash flow value.


NVIDIA Cyclically Adjusted FCF per Share Related Terms

Thank you for viewing the detailed overview of NVIDIA's Cyclically Adjusted FCF per Share provided by GuruFocus.com. Please click on the following links to see related term pages.


NVIDIA (UKEX:NVDA) Business Description

Industry
Address
2788 San Tomas Expressway, Santa Clara, CA, USA, 95051
Nvidia is a leading developer of graphics processing units. Traditionally, GPUs were used to enhance the experience on computing platforms, most notably in gaming applications on PCs. GPU use cases have since emerged as important semiconductors used in artificial intelligence. Nvidia not only offers AI GPUs, but also a software platform, Cuda, used for AI model development and training. Nvidia is also expanding its data center networking solutions, helping to tie GPUs together to handle complex workloads.